AI article
Bringing predictive analytics to the agentic AI era
Publisher description: In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. The big question now is how to enable predictive systems to act on their own conclusions without drifting from business intent. The frontier has moved from prediction to autonomous decision making, and the gap between…
MIT Technology Review | Oct 5, 2026 | MIT Technology Review Insights
Automated excerpt
SponsoredPredictive modeling with AI can revolutionize how organizations use everyday business data. October 5, 2026 In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. Intelligent analytics, powered by technologies like deep learning and generative AI, are making this possible. AI takes predictive analytics—a broad discipline that includes predictive modeling, data prep, analysis workflows, interpretation of results, and decision-making applications—to new heights. “In many ways I think the word ‘analytics’ is giving way to AI,” says Gupta. “Everything is becoming AI.
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